{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# Tutorial 8: Operations with saved data",
   "id": "c9430c514780f0e"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "Data stored in a NeXus file can be accessed using `mlgidBASE.nexus` functions. Internally, this relies on the `pygid.NexusFile` class, which is built on top of the `h5py` package. The details are described in [`pygid` documentation](https://pygid.readthedocs.io/en/latest/tutorials/tutorial_11_saved_data.html).\n",
    "\n",
    "First, create an `mlgidBASE` instance and run the analysis:"
   ],
   "id": "ead5eb957cf66ffb"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:00.997219515Z",
     "start_time": "2026-03-27T14:29:52.631642002Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from mlgidbase import mlgidBASE\n",
    "filename = '../../example/BA2PbI4.h5'\n",
    "analysis = mlgidBASE(filename=filename)\n",
    "analysis.run_detection()\n",
    "analysis.run_fitting()\n",
    "\n",
    "analysis.run_matching(\n",
    "    cif_prepr = r'../../example/prepr_cifs.pickle',\n",
    "    peaks_type='segments')\n",
    "\n",
    "analysis.run_matching(\n",
    "    cif_prepr = r'../../example/prepr_cifs.pickle',\n",
    "    peaks_type='rings')"
   ],
   "id": "63d225c28c9dc7cb",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO - Loading model\n",
      "INFO - Using the GPU for inference\n",
      "INFO - Saved detected peaks to file: ../../example/BA2PbI4.h5, entry: entry_0000, frame: 0\n",
      "INFO - Saved fitted peaks to file: ../../example/BA2PbI4.h5, entry: entry_0000, frame: 0\n",
      "INFO - Saved matched peaks to file: ../../example/BA2PbI4.h5, entry: entry_0000, frame: 0\n",
      "INFO - cif_prepr is already set. The previous cif_prepr is to be used\n",
      "INFO - Saved matched peaks to file: ../../example/BA2PbI4.h5, entry: entry_0000, frame: 0\n"
     ]
    }
   ],
   "execution_count": 1
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Print the file structure:",
   "id": "c0310b72a62b3e39"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.007420351Z",
     "start_time": "2026-03-27T14:30:00.997700434Z"
    }
   },
   "cell_type": "code",
   "source": "analysis.nexus.print_file_structure()",
   "id": "7fa71b95617d738c",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File structure: ../../example/BA2PbI4.h5\n",
      "{'entry_0000': {'axes': ['q_z', 'q_xy'],\n",
      "                'description': 'cylindrical coordinate conversion for GID '\n",
      "                               'geometry',\n",
      "                'img_type': 'img_gid_q',\n",
      "                'shape': (1, 1750, 1750)}}\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### Read the detected peaks",
   "id": "bc2ecd122b690613"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.025411367Z",
     "start_time": "2026-03-27T14:30:01.012585618Z"
    }
   },
   "cell_type": "code",
   "source": [
    "detected_peaks = analysis.get_detected_peaks()\n",
    "detected_peaks['entry_0000']['0']"
   ],
   "id": "7992dd0df4844566",
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "       (0., 49.71997  ,  3.4615479, 0.8052717 , 0.01236904, 0.6143367 , 0.5206274 , 0., 0.91257405, 0., 0., 0., False, False, False, 0, 68),\n",
       "       (0., 86.78635  ,  6.9136963, 0.33378673, 0.02618492, 0.33326182, 0.01871191, 0., 0.89191556, 0., 0., 0., False, False, False, 0, 69),\n",
       "       (0., 10.111969 ,  3.4382935, 2.6290145 , 0.0435555 , 0.46158233, 2.5881767 , 0., 0.8763772 , 0., 0., 0., False, False, False, 0, 70),\n",
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       "       (0., 81.48599  ,  3.2441406, 1.0580978 , 0.01146114, 1.0464373 , 0.15665263, 0., 0.8593646 , 0., 0., 0., False, False, False, 0, 73),\n",
       "       (0., 30.640137 ,  2.557251 , 0.94158465, 0.00555515, 0.4798732 , 0.8101255 , 0., 0.85846305, 0., 0., 0., False, False, False, 0, 74),\n",
       "       (0., 45.01831  , 21.965057 , 4.249851  , 0.02125931, 3.006059  , 3.004138  , 0., 0.8357626 , 0., 0., 0., False, False, False, 0, 75),\n",
       "       (0., 77.61481  ,  3.9010925, 0.84829634, 0.01748025, 0.8285546 , 0.18194507, 0., 0.7874025 , 0., 0., 0., False, False, False, 0, 76),\n",
       "       (0.,  5.1729736,  1.7171631, 0.7763597 , 0.00787681, 0.06999877, 0.7731976 , 0., 0.7630211 , 0., 0., 0., False, False, False, 0, 77),\n",
       "       (0., 81.64343  ,  4.1427307, 1.5857755 , 0.02315784, 1.568939  , 0.23046571, 0., 0.7402148 , 0., 0., 0., False, False, False, 0, 78),\n",
       "       (0., 28.133118 ,  2.4232178, 2.9349284 , 0.02608848, 1.3838824 , 2.5881798 , 0., 0.7175801 , 0., 0., 0., False, False, False, 0, 79),\n",
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       "       (0.,  7.2092896,  2.6794128, 1.1512735 , 0.01129115, 0.14447801, 1.142172  , 0., 0.6362717 , 0., 0., 0., False, False, False, 0, 81),\n",
       "       (0., 16.341248 ,  1.7180481, 0.79909384, 0.00594836, 0.22483113, 0.76681286, 0., 0.5920701 , 0., 0., 0., False, False, False, 0, 82),\n",
       "       (0., 24.875732 ,  3.891693 , 2.2239041 , 0.03784847, 0.9354888 , 2.0175753 , 0., 0.55762625, 0., 0., 0., False, False, False, 0, 83),\n",
       "       (0., 52.348755 ,  2.1201782, 1.156663  , 0.01600933, 0.91578054, 0.7065516 , 0., 0.54824257, 0., 0., 0., False, False, False, 0, 84),\n",
       "       (0.,  8.919189 ,  2.942627 , 2.8620896 , 0.04275703, 0.44374198, 2.8274813 , 0., 0.51545155, 0., 0., 0., False, False, False, 0, 85),\n",
       "       (0., 59.524963 ,  2.5531006, 3.1818893 , 0.02835989, 2.742312  , 1.6137363 , 0., 0.49212956, 0., 0., 0., False, False, False, 0, 86),\n",
       "       (0., 12.815979 ,  1.5818787, 3.0261936 , 0.01186395, 0.6712716 , 2.9508038 , 0., 0.47389352, 0., 0., 0., False, False, False, 0, 87),\n",
       "       (0., 45.320007 , 18.592377 , 4.3269033 , 0.03725004, 3.0766232 , 3.0424469 , 0., 0.38814318, 0., 0., 0., False, False, False, 0, 88),\n",
       "       (0., 34.730164 ,  1.6214905, 2.4190588 , 0.01452732, 1.3781675 , 1.9880894 , 0., 0.2919792 , 0., 0., 0., False, False, False, 0, 89),\n",
       "       (0.,  4.6171875,  1.0184326, 3.0132227 , 0.00603843, 0.24255818, 3.0034442 , 0., 0.27773833, 0., 0., 0., False, False, False, 0, 90),\n",
       "       (0.,  8.601044 ,  2.1176758, 1.3988013 , 0.00780272, 0.20919544, 1.38307   , 0., 0.20308328, 0., 0., 0., False, False, False, 0, 91),\n",
       "       (0., 35.087646 ,  2.1220398, 2.8178203 , 0.01845837, 1.6197643 , 2.3057482 , 0., 0.13765144, 0., 0., 0., False, False, False, 0, 92),\n",
       "       (0., 62.10956  ,  2.5473022, 0.4620412 , 0.00502357, 0.40837222, 0.21613471, 0., 0.08867049, 0., 0., 0., False, False, False, 0, 93),\n",
       "       (0., 32.39099  ,  1.61203  , 3.3285656 , 0.00990367, 1.7830926 , 2.8106813 , 0., 0.08096695, 0., 0., 0., False, False, False, 0, 94)],\n",
       "      dtype=[('amplitude', '<f4'), ('angle', '<f4'), ('angle_width', '<f4'), ('radius', '<f4'), ('radius_width', '<f4'), ('q_z', '<f4'), ('q_xy', '<f4'), ('theta', '<f4'), ('score', '<f4'), ('A', '<f4'), ('B', '<f4'), ('C', '<f4'), ('is_ring', '?'), ('is_cut_qz', '?'), ('is_cut_qxy', '?'), ('visibility', '<i4'), ('id', '<i4')])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "It returns a multilayered dictionary structure:\n",
    "\n",
    "- **entry** — top-level key corresponding to each entry in the file\n",
    "  - **frame number** — sub-key corresponding to each frame in the entry\n",
    "\n",
    "You can access detected boxes information such as box centers as follows:"
   ],
   "id": "e662cc5bdaca9249"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.066561475Z",
     "start_time": "2026-03-27T14:30:01.045904028Z"
    }
   },
   "cell_type": "code",
   "source": [
    "q_xy, q_z = detected_peaks['entry_0000']['0']['q_xy'], detected_peaks['entry_0000']['0']['q_z']\n",
    "q_xy.shape, q_z.shape"
   ],
   "id": "31d2f79ffb0991d0",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((95,), (95,))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 4
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### Read the fitted peaks",
   "id": "bd100221fccb054c"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.115368445Z",
     "start_time": "2026-03-27T14:30:01.092535356Z"
    }
   },
   "cell_type": "code",
   "source": [
    "fitted_peaks = analysis.get_fitted_peaks()\n",
    "fitted_peaks['entry_0000']['0']"
   ],
   "id": "b5fa7ed68d9589fb",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([(6.7566010e+02, 32.421303 , 1.1329187 , 1.6984148 , 0.04147886, 0.9105893 , 1.4336805 ,  0., 0.9999976 ,  -20.687923 ,  1.4725417 ,   198.63441  , False, False, False, 0,  0),\n",
       "       (2.4723970e+02, 51.753757 , 1.243038  , 2.3124957 , 0.06077257, 1.8161359 , 1.4315331 ,  0., 0.9999883 ,  -20.687923 ,  0.00634714,   221.2811   , False, False, False, 0,  1),\n",
       "       (1.2808958e+03, 63.59366  , 1.1973839 , 2.281721  , 0.05442685, 2.043652  , 1.0147598 ,  0., 0.99998546,  -20.687923 ,  1.406057  ,   145.74939  , False, False, False, 0,  2),\n",
       "       (3.1531558e+02, 23.001713 , 0.98988295, 1.7499484 , 0.03589573, 0.6838075 , 1.6108155 ,  0., 0.99997425,  -20.687923 ,  2.8553255 ,   167.88124  , False, False, False, 0,  3),\n",
       "       (5.2162653e+02, 42.091644 , 1.1197909 , 3.0453718 , 0.07276262, 2.0413687 , 2.25989   ,  0., 0.99996734,   20.687923 , -2.5318625 ,   170.08418  , False, False, False, 0,  4),\n",
       "       (3.8954254e+02, 15.958809 , 1.0163413 , 1.655431  , 0.03999717, 0.45515448, 1.59163   ,  0., 0.9999442 ,   20.687923 ,  2.9915144 ,    89.56608  , False, False, False, 0,  5),\n",
       "       (5.6615356e+02, 34.032825 , 1.0860645 , 1.222551  , 0.02813488, 0.6842224 , 1.0131489 ,  0., 0.9999411 ,   20.687923 ,  0.2779113 ,    87.226265 , False, False, False, 0,  6),\n",
       "       (2.8878683e+02, 35.326836 , 1.0217057 , 2.7512267 , 0.05109524, 1.5908687 , 2.2446346 ,  0., 0.9999213 ,  -20.687923 ,  3.087781  ,    67.05354  , False, False, False, 0,  7),\n",
       "       (2.1241402e+02, 29.693731 , 1.1710634 , 1.8321644 , 0.05060554, 0.9075876 , 1.591575  ,  0., 0.999892  ,  -20.687923 ,  1.4725417 ,   198.63441  , False, False, False, 0,  8),\n",
       "       (3.2124890e+02,  8.16514  , 0.97878104, 1.6211296 , 0.04606103, 0.2302437 , 1.6046959 ,  0., 0.9998853 ,   20.687923 ,  5.688889  ,    47.844646 , False, False, False, 0,  9),\n",
       "       (1.4773092e+03, 87.70113  , 1.5558754 , 0.9147457 , 0.03505794, 0.91400945, 0.03669228,  0., 0.9998424 ,   20.687923 ,  1.7084345 ,   -30.649757 , False,  True, False, 0, 10),\n",
       "       (6.9024979e+01, 56.406204 , 4.5703125 , 4.1001987 , 0.11389966, 3.4153883 , 2.2686455 ,  0., 0.9998336 ,   20.687923 , -0.02671782,    11.59517  , False, False, False, 0, 11),\n",
       "       (2.1864798e+01, 45.       ,        inf, 3.5446892 , 0.02984258, 2.5064738 , 2.5064738 , nan, 0.99982643,   28.042109 ,  0.        ,    -1.5001986,  True, False, False, 0, 12),\n",
       "       (1.1042014e+01, 45.       ,        inf, 2.9091396 , 0.08738417, 2.0570724 , 2.0570724 , nan, 0.9997728 ,   -0.8458107,  0.        ,   107.23718  ,  True,  True, False, 0, 13),\n",
       "       (9.5957227e+02, 57.51649  , 1.1441146 , 1.8884794 , 0.04504059, 1.5930194 , 1.0142207 ,  0., 0.999753  ,  -20.687923 , -0.49800485,   278.58292  , False, False, False, 0, 14),\n",
       "       (3.1170321e+01, 80.90969  , 3.8671875 , 2.6152444 , 0.07390295, 2.5823982 , 0.41318506,  0., 0.9996896 ,  -20.687923 ,  2.5159929 ,   -31.496796 , False,  True, False, 0, 15),\n",
       "       (5.6730762e+02, 41.856983 , 0.9855962 , 2.7484107 , 0.03366617, 1.8339417 , 2.0470512 ,  0., 0.99968314,   -6.727388 , -2.4589894 ,   239.92735  , False, False, False, 0, 16),\n",
       "       (3.1810829e+01, 45.       ,        inf, 3.4689908 , 0.03293303, 2.452947  , 2.452947  , nan, 0.99968266,   28.042109 ,  0.        ,    -1.5001986,  True, False, False, 0, 17),\n",
       "       (6.1198940e+03, 12.836185 , 1.0546877 , 1.0383103 , 0.02202946, 0.23067549, 1.0123621 ,  0., 0.99963844,   19.98217  , -4.3574057 ,   117.574715 , False, False, False, 0, 18),\n",
       "       (3.1321759e+02, 48.279316 , 1.1869978 , 3.0406296 , 0.07343388, 2.2695198 , 2.0235384 ,  0., 0.99962246,    7.4596634, -2.963457  ,   239.02364  , False, False, False, 0, 19),\n",
       "       (1.4198959e+02, 86.156975 , 0.92285156, 1.3483946 , 0.02246688, 1.3453627 , 0.09037374,  0., 0.99961245,   20.687923 ,  2.5104442 ,   -44.54194  , False,  True, False, 0, 20),\n",
       "       (1.2911343e+03, 85.68695  , 4.21875   , 0.6233724 , 0.07733981, 0.621607  , 0.04688123,  0., 0.99958   ,  -20.687923 , -5.688889  ,   -34.02573  , False,  True, False, 0, 21),\n",
       "       (1.5519414e+02, 44.67391  , 1.0402986 , 2.2599356 , 0.0530858 , 1.5888951 , 1.6070848 ,  0., 0.9995557 ,  -20.687923 ,  2.5385797 ,   111.880646 , False, False, False, 0, 22),\n",
       "       (9.6876381e+01, 57.70361  , 1.26962   , 2.6799636 , 0.06956498, 2.2653613 , 1.4319022 ,  0., 0.9994751 ,  -20.687923 , -0.59959215,   207.26964  , False, False, False, 0, 23),\n",
       "       (3.7375301e+01, 54.74575  , 1.096715  , 2.7800887 , 0.05799282, 2.270217  , 1.6046832 ,  0., 0.9994749 ,  -20.687923 , -0.59959215,   207.26964  , False, False, False, 0, 24),\n",
       "       (2.6392545e+02, 62.500683 , 0.9839814 , 1.5366106 , 0.03872627, 1.3629987 , 0.7095116 ,  0., 0.9993789 ,  -20.687923 ,  0.6451523 ,   215.06915  , False, False, False, 0, 25),\n",
       "       (3.7250206e+01, 45.       ,        inf, 3.1695154 , 0.14898233, 2.241186  , 2.241186  , nan, 0.99924517, -112.434105 ,  0.        ,   436.93234  ,  True,  True, False, 0, 26),\n",
       "       (3.9106787e+02, 45.       ,        inf, 2.1509664 , 0.07911258, 1.520963  , 1.520963  , nan, 0.99924374, -569.1085   ,  0.        ,  1236.4015   ,  True, False, False, 0, 27),\n",
       "       (7.2675538e+00, 45.       ,        inf, 0.51195574, 0.02511805, 0.36200738, 0.36200738, nan, 0.9992143 , -284.0239   ,  0.        ,   280.0289   ,  True, False,  True, 0, 28),\n",
       "       (8.2623009e+01, 32.93384  , 0.87173903, 0.8434469 , 0.02073129, 0.458557  , 0.70790404,  0., 0.9992019 ,  -20.687923 ,  0.14675803,   113.17324  , False, False, False, 0, 29),\n",
       "       (2.5376408e+02, 33.93459  , 1.0328139 , 2.4591887 , 0.03501642, 1.3728325 , 2.0403285 ,  0., 0.9986857 ,  -11.55774  ,  3.0097477 ,    64.11128  , False, False, False, 0, 30),\n",
       "       (3.5828534e+05, 88.8474   , 1.8017578 , 0.4587278 , 0.03021086, 0.45863497, 0.0092275 ,  0., 0.9985429 ,  -20.687923 , -5.688889  ,   -34.02573  , False,  True, False, 0, 31),\n",
       "       (1.5837714e+02, 11.577013 , 2.2444055 , 1.0262804 , 0.01812661, 0.20595898, 1.0054016 ,  0., 0.99826586,   19.98217  , -4.3574057 ,   117.574715 , False, False, False, 0, 32),\n",
       "       (5.0125462e+01, 51.71948  , 1.0466869 , 2.6041114 , 0.06863698, 2.0441937 , 1.6132787 ,  0., 0.99793935,    3.0255704,  0.2887911 ,   110.05982  , False, False, False, 0, 33),\n",
       "       (9.8112915e+02,  5.881533 , 1.8896484 , 2.2681868 , 0.08353858, 0.23242548, 2.2562468 ,  0., 0.9976517 ,  -20.684952 , -5.688889  ,    11.961062 , False, False, False, 0, 34),\n",
       "       (1.7086876e+01, 45.       ,        inf, 4.154259  , 0.03057178, 2.937505  , 2.937505  , nan, 0.9975394 , -292.40784  ,  0.        ,  1328.8615   ,  True, False, False, 0, 35),\n",
       "       (1.6595308e+02, 35.23716  , 1.0467156 , 1.9653205 , 0.04919683, 1.1339155 , 1.6052165 ,  0., 0.99715424,   -3.2225463,  0.7087353 ,   177.55232  , False, False, False, 0, 36),\n",
       "       (2.7899675e+00, 45.       ,        inf, 3.790024  , 0.03828304, 2.6799517 , 2.6799517 , nan, 0.9967687 ,   43.132816 ,  0.        ,   -65.17654  ,  True, False, False, 0, 37),\n",
       "       (3.2961445e+01, 24.303043 , 0.9232238 , 1.1129161 , 0.02654809, 0.45803487, 1.0142912 ,  0., 0.99643505,   20.687923 ,  0.41656935,    72.01186  , False, False, False, 0, 38),\n",
       "       (1.1131299e+03, 12.717163 , 0.9667969 , 2.0984175 , 0.01933495, 0.46194234, 2.0469406 ,  0., 0.9957502 ,   20.687923 ,  5.688889  ,    81.45901  , False, False, False, 0, 39),\n",
       "       (7.5373871e+01, 67.85735  , 1.0836444 , 2.683475  , 0.08217354, 2.4855642 , 1.0114386 ,  0., 0.9941821 ,  -20.687923 , -0.87472975,   237.41081  , False, False, False, 0, 40),\n",
       "       (5.8273094e+01, 68.599464 , 1.0072232 , 1.9489814 , 0.04734049, 1.8146039 , 0.71115494,  0., 0.99109197,  -20.687923 , -0.34835455,   281.71823  , False, False, False, 0, 41),\n",
       "       (4.8099304e+01, 38.265568 , 1.2644649 , 3.6544774 , 0.07120788, 2.2632444 , 2.869308  ,  0., 0.9910488 ,  -20.687923 , -0.024213  ,   175.63126  , False, False, False, 0, 42),\n",
       "       (4.4553188e+01, 45.       ,        inf, 2.4618986 , 0.04875787, 1.7408252 , 1.7408252 , nan, 0.9907459 ,  559.0415   ,  0.        , -1242.8204   ,  True, False,  True, 0, 43),\n",
       "       (9.1936729e+01, 26.815224 , 1.8399646 , 2.5136476 , 0.05366853, 1.1339433 , 2.243345  ,  0., 0.9892787 ,  -20.687923 , -1.8334005 ,   220.57085  , False, False, False, 0, 44),\n",
       "       (1.4454724e+01, 45.       ,        inf, 0.30214024, 0.03108919, 0.21364541, 0.21364541, nan, 0.98899984, -343.25494  ,  0.        ,   283.23727  ,  True,  True, False, 0, 45),\n",
       "       (6.0496803e+01,  6.007795 , 2.636591  , 1.8668509 , 0.05800485, 0.19539164, 1.8565975 ,  0., 0.98875797,  -13.907102 ,  5.688889  ,    79.08096  , False, False, False, 0, 46),\n",
       "       (3.0159082e+02, 49.948174 , 1.9647753 , 0.40288502, 0.00979284, 0.30839345, 0.25924855,  0., 0.98837256,  -20.687923 ,  0.43520445,   149.73955  , False, False, False, 0, 47),\n",
       "       (1.6403493e+02, 40.65802  , 1.035203  , 2.0956616 , 0.04350364, 1.3654133 , 1.5897939 ,  0., 0.9881674 ,   20.687923 ,  0.4286768 ,   142.39386  , False, False, False, 0, 48),\n",
       "       (2.2815106e+00, 45.       ,        inf, 3.8643777 , 0.02635475, 2.7325277 , 2.7325277 , nan, 0.98713577,  -16.040735 ,  0.        ,   161.40445  ,  True, False, False, 0, 49),\n",
       "       (3.6773212e+01, 57.306713 , 1.1758231 , 2.95575   , 0.10215163, 2.4874825 , 1.596524  ,  0., 0.98629093,  -20.687923 ,  0.9422274 ,   123.39281  , False, False, False, 0, 50),\n",
       "       (2.7966425e+01, 45.       ,        inf, 1.5095917 , 0.02173411, 1.0674425 , 1.0674425 , nan, 0.9857589 ,  194.55748  ,  0.        ,  -110.07765  ,  True,  True, False, 0, 51),\n",
       "       (1.8330092e+02, 16.855915 , 0.8617266 , 2.360273  , 0.06405377, 0.68439865, 2.2588685 ,  0., 0.98565876,  -20.687923 ,  5.6888885 ,   109.681786 , False, False, False, 0, 52),\n",
       "       (5.1468803e+01, 50.740078 , 5.2734375 , 2.4567974 , 0.02779399, 1.9022565 , 1.5547582 ,  0., 0.98387563,  -20.687923 ,  0.00634714,   221.2811   , False, False, False, 0, 53),\n",
       "       (4.4667755e+01, 41.973095 , 1.4205455 , 1.3655727 , 0.03781632, 0.9132698 , 1.0152472 ,  0., 0.98351145,   20.687923 ,  1.281089  ,    73.284706 , False, False, False, 0, 54),\n",
       "       (3.0864773e+01, 37.220203 , 1.1456705 , 0.941164  , 0.0141602 , 0.56929123, 0.74946463,  0., 0.98251665,   20.687923 ,  0.331221  ,    71.189896 , False, False, False, 0, 55),\n",
       "       (2.2470967e+02, 33.194576 , 2.1678767 , 0.40240934, 0.00954505, 0.2203127 , 0.33674264,  0., 0.98084116,  -20.687923 ,  1.6253442 ,   108.97101  , False, False, False, 0, 56),\n",
       "       (2.4533934e+01, 72.36965  , 4.2327356 , 1.865047  , 0.06549901, 1.7774464 , 0.5648756 ,  0., 0.97593415,  -20.687923 , -0.34835455,   281.71823  , False, False, False, 0, 57),\n",
       "       (1.1982606e+02, 81.36909  , 3.8353593 , 2.1181028 , 0.02062993, 2.0941164 , 0.317861  ,  0., 0.9751378 ,  -20.687923 ,  4.0491047 ,   -64.59061  , False, False, False, 0, 58),\n",
       "       (1.4677499e+02, 32.381752 , 1.2565689 , 3.408311  , 0.06120641, 1.8253475 , 2.8783135 ,  0., 0.96959305,   20.687923 , -1.3126519 ,    70.30778  , False, False, False, 0, 59),\n",
       "       (2.4493120e+01, 45.       ,        inf, 1.5338043 , 0.01868487, 1.0845634 , 1.0845634 , nan, 0.9686203 ,  194.55748  ,  0.        ,  -110.07765  ,  True, False, False, 0, 60),\n",
       "       (4.6843704e+01, 25.218422 , 0.9396236 , 3.200336  , 0.08700728, 1.3635678 , 2.8953123 ,  0., 0.9655597 ,  -20.687923 ,  1.7082636 ,   105.972755 , False, False, False, 0, 61),\n",
       "       (6.6685846e+02, 42.012695 , 1.093844  , 2.7016423 , 0.03081546, 1.8081963 , 2.0073109 ,  0., 0.9624704 ,   -6.727388 , -2.4589894 ,   239.92735  , False, False, False, 0, 62),\n",
       "       (3.0686869e+01, 21.267635 , 1.688042  , 0.9724322 , 0.01667734, 0.35272536, 0.90620595,  0., 0.9622601 ,   20.687923 , -0.09937178,    76.1778   , False, False, False, 0, 63),\n",
       "       (4.4954552e+01, 45.       ,        inf, 3.510889  , 0.05314285, 2.4825735 , 2.4825735 , nan, 0.9423877 ,   28.042109 ,  0.        ,    -1.5001986,  True,  True, False, 0, 64),\n",
       "       (6.0308037e+01, 34.664673 , 0.81958956, 1.7365203 , 0.04850966, 0.987685  , 1.428279  ,  0., 0.9395672 ,  -20.687923 ,  1.4725417 ,   198.63441  , False, False, False, 0, 65),\n",
       "       (5.9733036e+01, 17.276323 , 0.6886362 , 3.0421329 , 0.05274972, 0.9034535 , 2.9048827 ,  0., 0.9386257 ,    9.925995 ,  2.966812  ,    16.71058  , False, False, False, 0, 66),\n",
       "       (3.1343634e+01, 43.535213 , 1.4646211 , 1.9680175 , 0.05132436, 1.3555709 , 1.4267166 ,  0., 0.9291179 ,   20.687923 ,  0.4286768 ,   142.39386  , False, False, False, 0, 67),\n",
       "       (1.7715338e+01, 49.964355 , 1.837673  , 0.80130106, 0.01466284, 0.6135117 , 0.51544815,  0., 0.91257405,   20.687923 , -0.68656754,   123.700485 , False, False, False, 0, 68),\n",
       "       (1.3712143e+04, 89.17742  , 2.3684638 , 0.31506953, 0.04321605, 0.31503707, 0.0045232 ,  0., 0.89191556,  -20.687923 , -5.688889  ,   -34.02573  , False,  True, False, 0, 69),\n",
       "       (4.7947342e+01, 10.138699 , 1.0514947 , 2.6039689 , 0.07780222, 0.4583809 , 2.5633066 ,  0., 0.8763772 ,  -20.687923 ,  2.9999871 ,   115.670944 , False, False, False, 0, 70),\n",
       "       (1.3507516e+03, 82.09638  , 5.8007812 , 0.5306558 , 0.0386699 , 0.525615  , 0.07296892,  0., 0.8734865 ,  -20.687923 , -5.688889  ,   -34.02573  , False, False, False, 0, 71),\n",
       "       (4.7891781e+01,  8.155795 , 0.912777  , 3.2317915 , 0.05961292, 0.45847896, 3.199105  ,  0., 0.8671231 ,  -20.687923 ,  2.9000304 ,   117.04283  , False, False, False, 0, 72),\n",
       "       (6.6965759e+01, 81.25147  , 1.5790417 , 1.0567929 , 0.01721321, 1.0444975 , 0.16073605,  0., 0.8593646 ,   20.687923 ,  1.4995023 ,   -19.013052 , False, False, False, 0, 73),\n",
       "       (2.7427671e+01, 30.6998   , 1.5020177 , 0.93898773, 0.01715936, 0.47939074, 0.8073924 ,  0., 0.85846305,   20.687923 ,  0.17157927,    72.10645  , False, False, False, 0, 74),\n",
       "       (6.2418199e+00, 45.       ,        inf, 4.2469554 , 0.031448  , 3.0030508 , 3.0030508 , nan, 0.8357626 ,    1.1881576,  0.        ,    97.01966  ,  True, False, False, 0, 75),\n",
       "       (8.5569656e+01, 77.73784  , 1.7164714 , 0.8486433 , 0.01645792, 0.8292824 , 0.18023917,  0., 0.7874025 ,  -20.687923 , -0.44377577,   167.00848  , False, False, False, 0, 76),\n",
       "       (5.4209152e+01,  5.1981964, 1.5380859 , 0.7758279 , 0.02188682, 0.07029097, 0.7726371 ,  0., 0.7630211 ,  -20.687923 ,  2.4140847 ,    72.801636 , False, False, False, 0, 77),\n",
       "       (3.1544994e+01, 81.19771  , 2.3755572 , 1.5895164 , 0.03547433, 1.5707955 , 0.24323636,  0., 0.7402148 ,   20.687923 ,  3.086029  ,   -54.73938  , False, False, False, 0, 78),\n",
       "       (2.8043964e+01, 27.903587 , 0.9620869 , 2.9222386 , 0.06139311, 1.3675642 , 2.5824885 ,  0., 0.7175801 ,   20.687923 ,  1.7296357 ,   -11.101816 , False, False, False, 0, 79),\n",
       "       (5.3695869e+01, 20.900303 , 0.89531547, 3.1900222 , 0.08206481, 1.138018  , 2.980127  ,  0., 0.7099935 ,  -20.687923 ,  1.7082636 ,   105.972755 , False, False, False, 0, 80),\n",
       "       (2.1303396e+01,  7.045297 , 1.5209695 , 1.1506892 , 0.01822974, 0.14113663, 1.1420009 ,  0., 0.6362717 ,   -8.735073 ,  3.630529  ,    61.97232  , False, False, False, 0, 81),\n",
       "       (2.2577121e+02, 16.264256 , 0.52734375, 0.7950364 , 0.00604217, 0.22266413, 0.7632192 ,  0., 0.5920701 ,   20.687923 , -0.31553838,    77.49458  , False, False, False, 0, 82),\n",
       "       (2.3838000e+02, 25.28892  , 4.3945312 , 2.1737616 , 0.02521173, 0.928594  , 1.9654394 ,  0., 0.55762625,  -20.687923 ,  1.2710983 ,   195.86356  , False, False, False, 0, 83),\n",
       "       (1.9646273e+01, 52.15438  , 1.3609446 , 1.1587447 , 0.03108481, 0.91502213, 0.71093154,  0., 0.54824257,   20.687923 ,  0.68700194,    63.072216 , False, False, False, 0, 84),\n",
       "       (6.7998909e+01,  9.151368 , 1.0666951 , 2.901432  , 0.09314732, 0.46145323, 2.8645015 ,  0., 0.51545155,   20.687923 ,  2.101906  ,     2.5063143, False, False, False, 0, 85),\n",
       "       (2.9092903e+01, 59.499714 , 1.2459735 , 3.1610792 , 0.06767233, 2.72367   , 1.6043825 ,  0., 0.49212956,  -20.687923 , -1.0482252 ,   196.5546   , False, False, False, 0, 86),\n",
       "       (1.0338564e+02, 12.883666 , 0.9717839 , 3.0264704 , 0.03383616, 0.6748188 , 2.9502785 ,  0., 0.47389352,   20.687923 , -3.2003663 ,    65.787766 , False, False, False, 0, 87),\n",
       "       (4.5017719e+00, 45.       ,        inf, 4.335973  , 0.02927218, 3.0659957 , 3.0659957 , nan, 0.38814318,  -86.200615 ,  0.        ,   472.2446   ,  True, False, False, 0, 88),\n",
       "       (2.6328967e+02, 34.084995 , 1.137628  , 2.4134412 , 0.01562527, 1.3525459 , 1.9988292 ,  0., 0.2919792 ,  -11.55774  ,  3.0097477 ,    64.11128  , False, False, False, 0, 89),\n",
       "       (2.3208665e+02,  4.690122 , 1.3183594 , 3.011616  , 0.00604217, 0.24624985, 3.0015316 ,  0., 0.27773833,   20.687923 ,  5.688889  ,   -10.258131 , False, False, False, 0, 90),\n",
       "       (3.1262417e+03,  8.499607 , 0.6152344 , 1.3968658 , 0.00604217, 0.20646043, 1.3815238 ,  0., 0.20308328,    4.1506886,  5.688889  ,    -5.159805 , False, False, False, 0, 91),\n",
       "       (2.2474005e+02, 34.87818  , 1.0107087 , 2.7905974 , 0.04833738, 1.5957571 , 2.2893214 ,  0., 0.13765144,  -20.687923 ,  3.087781  ,    67.05354  , False, False, False, 0, 92),\n",
       "       (2.0152274e+02, 61.849926 , 1.2384909 , 0.46364498, 0.00483374, 0.4088027 , 0.21873966,  0., 0.08867049,  -20.687923 ,  1.1070709 ,    88.58654  , False, False, False, 0, 93),\n",
       "       (6.4846901e+01, 32.690914 , 0.9825746 , 3.3269775 , 0.01610683, 1.7969234 , 2.7999723 ,  0., 0.08096695,   20.687923 , -1.3126519 ,    70.30778  , False, False, False, 0, 94)],\n",
       "      dtype=[('amplitude', '<f4'), ('angle', '<f4'), ('angle_width', '<f4'), ('radius', '<f4'), ('radius_width', '<f4'), ('q_z', '<f4'), ('q_xy', '<f4'), ('theta', '<f4'), ('score', '<f4'), ('A', '<f4'), ('B', '<f4'), ('C', '<f4'), ('is_ring', '?'), ('is_cut_qz', '?'), ('is_cut_qxy', '?'), ('visibility', '<i4'), ('id', '<i4')])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "It returns a multilayered dictionary structure:\n",
    "\n",
    "- **entry** — top-level key corresponding to each entry in the file\n",
    "  - **frame number** — sub-key corresponding to each frame in the entry\n",
    "\n",
    "You can access fitted peak information such as peak centers, types, and amplitudes as follows:"
   ],
   "id": "a0db86a6e431290c"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.154141246Z",
     "start_time": "2026-03-27T14:30:01.136357235Z"
    }
   },
   "cell_type": "code",
   "source": [
    "q_xy = fitted_peaks['entry_0000']['0']['q_xy']\n",
    "q_z = fitted_peaks['entry_0000']['0']['q_z']\n",
    "amp = fitted_peaks['entry_0000']['0']['amplitude']\n",
    "is_ring = fitted_peaks['entry_0000']['0']['is_ring']\n",
    "\n",
    "q_xy.shape, q_z.shape, amp.shape, is_ring.shape"
   ],
   "id": "d9832765246de228",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((95,), (95,), (95,), (95,))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Get only segments",
   "id": "d54c92791c9529a1"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.212457578Z",
     "start_time": "2026-03-27T14:30:01.180160256Z"
    }
   },
   "cell_type": "code",
   "source": [
    "q_xy_peaks = q_xy[~is_ring]\n",
    "q_z_peaks = q_z[~is_ring]\n",
    "amp_peaks = amp[~is_ring]\n",
    "\n",
    "q_xy_peaks.shape, q_z_peaks.shape, amp_peaks.shape,"
   ],
   "id": "e9966f1c3bcad0bf",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((79,), (79,), (79,))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Get only rings",
   "id": "27fabfa5e7acc3fc"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.224242879Z",
     "start_time": "2026-03-27T14:30:01.213123863Z"
    }
   },
   "cell_type": "code",
   "source": [
    "q_xy_rings = q_xy[is_ring]\n",
    "q_z_rings = q_z[is_ring]\n",
    "amp_rings = amp[is_ring]\n",
    "\n",
    "q_xy_rings.shape, q_z_rings.shape, amp_rings.shape,"
   ],
   "id": "b3f83809d1632c08",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((16,), (16,), (16,))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 8
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### Read the matched solutions",
   "id": "9b67b17e2a62fb02"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.237110127Z",
     "start_time": "2026-03-27T14:30:01.227147416Z"
    }
   },
   "cell_type": "code",
   "source": [
    "matched_peaks = analysis.get_matched_peaks()\n",
    "matched_peaks['entry_0000']['0']['matched_rings_0000']"
   ],
   "id": "ce3c73ee1653f010",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([(b'In2O3_14387.cif', 0, 0, 0, 0.99880445, array([13, 17, 26, 27, 35, 37, 43, 49, 51, 60, 64, 75, 88], dtype=int32))],\n",
       "      dtype={'names': ['CIF', 'h', 'k', 'l', 'probability', 'peak_list'], 'formats': ['S64', '<i4', '<i4', '<i4', '<f4', 'O'], 'offsets': [0, 64, 68, 72, 76, 80], 'itemsize': 96})"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 9
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "The analysis returns a multilayered dictionary structure:\n",
    "\n",
    "- **entry** — top-level key corresponding to each entry in the file\n",
    "  - **frame number** — sub-key corresponding to each frame in the entry\n",
    "    - **solution** — sub-key corresponding to each solution for this frame\n",
    "\n",
    "Each solution contains detected or matched peak information, such as peak centers, types, amplitudes, and matched CIF identifiers. For example, to access a specific matched peak set:\n"
   ],
   "id": "5575790612cfd9"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:01.281232740Z",
     "start_time": "2026-03-27T14:30:01.258262504Z"
    }
   },
   "cell_type": "code",
   "source": [
    "CIF_list = matched_peaks['entry_0000']['0']['matched_rings_0000']['CIF']\n",
    "probability_list = matched_peaks['entry_0000']['0']['matched_rings_0000']['probability']\n",
    "peak_list = matched_peaks['entry_0000']['0']['matched_rings_0000']['peak_list']\n",
    "\n",
    "num = 0 # structure number in the given solution\n",
    "CIF_list[num].decode('utf-8'), peak_list[num]"
   ],
   "id": "de556c6b1a881f8c",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('In2O3_14387.cif',\n",
       " array([13, 17, 26, 27, 35, 37, 43, 49, 51, 60, 64, 75, 88], dtype=int32))"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 10
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "You can recursively print a multilayered dictionary:",
   "id": "e4afc97b614d016c"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:30:34.580657210Z",
     "start_time": "2026-03-27T14:30:34.563350650Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import numpy as np\n",
    "for entry, frames in matched_peaks.items():\n",
    "    print(f\"\\nEntry: {entry}\")\n",
    "    print(\"=\"*60)\n",
    "    for frame_num, solutions in frames.items():\n",
    "        print(f\"  Frame: {frame_num}\")\n",
    "        print(\"  \" + \"-\"*56)\n",
    "        for solution, data in solutions.items():\n",
    "            # Iterate over lists of CIFs and probabilities\n",
    "            for cif, prob in zip(data['CIF'], data['probability']):\n",
    "                # Decode bytes to string\n",
    "                cif_name = cif.decode('utf-8')\n",
    "                print(f\"    Solution: {solution:<15} CIF: {cif_name:<25} Probability: {prob}\")\n",
    "        print(\"  \" + \"-\"*56)"
   ],
   "id": "36b89e0a5ffdf082",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Entry: entry_0000\n",
      "============================================================\n",
      "  Frame: 0\n",
      "  --------------------------------------------------------\n",
      "    Solution: matched_rings_0000 CIF: In2O3_14387.cif           Probability: 0.9988044500350952\n",
      "    Solution: matched_segments_0000 CIF: 1_BA2PbI4_n1.cif          Probability: 0.9957428574562073\n",
      "  --------------------------------------------------------\n"
     ]
    }
   ],
   "execution_count": 13
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "### Get a pygid.Conversion instance\n",
    "\n",
    "Additionally, the `pygid.Conversion` can be loaded for simulations:"
   ],
   "id": "5448d20c13466f30"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:32:35.921942776Z",
     "start_time": "2026-03-27T14:32:35.911164124Z"
    }
   },
   "cell_type": "code",
   "source": [
    "conversion = analysis.nexus.load_entry(\n",
    "    entry = 'entry_0000',  # entry name to load\n",
    "    frame_num = 0,         # frame number to load (int, list or None (all))\n",
    ")"
   ],
   "id": "bc0f87382c056494",
   "outputs": [],
   "execution_count": 18
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-27T14:36:55.922202045Z",
     "start_time": "2026-03-27T14:36:55.341883103Z"
    }
   },
   "cell_type": "code",
   "source": [
    "crystal = {\n",
    "    'path_to_cif': '../../example/cifs/1_BA2PbI4_n1.cif', # path to CIF\n",
    "    'orientation': [0,0,1],                               # contact plane\n",
    "    'min_int': 1e-5,                                      # minimal peak intensity to simulate\n",
    "}\n",
    "\n",
    "conversion.make_simulation(\n",
    "    frame_num=0,                  # Frame of experimental data\n",
    "    crystal=crystal,\n",
    "    plot_result=True,             # Display simulation overlay\n",
    "    clims=(50, 1e4),              # Intensity limits\n",
    ")"
   ],
   "id": "4acbc4917201bb2",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO - Simulating GIWAXS data from CIF: ../../example/cifs/1_BA2PbI4_n1.cif, orientation: [0, 0, 1]\n",
      "INFO - Use already converted image with frame num 0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 25
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "d9d2f5e4400bb5bb"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}